Exposed revenue
Separate healthy backlog from orders and lines whose planned shipment or recognition window is genuinely exposed.
Revenue-at-risk intelligence
Know which orders are putting this period's revenue and customer commitments at risk.
PulseIQ brings order, engineering, material, production and shipment evidence together so leadership can move from a revenue-risk number to the actual blocker, recovery window, action owner and decision required.
Approved read-only accessTarget activation: 1–2 days after genuine prerequisites are readyCustomer leadership retains go-live and operational decision authority
The management problem
Revenue risk is an operational problem long before it becomes a finance variance.
Bookings and backlog alone do not tell leadership which commitments are becoming unrecoverable. The decisive signals may sit in BOM status, purchase orders, work orders, supplier promises, quality holds or shipment milestones. PulseIQ connects those signals to the commercial outcome.
Root operational cause
Trace the risk to engineering, material, supplier, production, quality or shipment dependencies.
Recovery opportunity
Prioritise cases where intervention can still protect the commitment instead of reporting risk after the window closes.
Leadership accountability
Connect each material recovery decision to an owner, action, evidence trail and later outcome verification.
Works above the systems you already run
Connect the operational chain instead of building another isolated dashboard.
Sales orders / order linesCRM opportunitiesCPQ approved quote outputsBOM & engineering statusMRP / purchase ordersWork orders & shipment status
Minimal customer preparation
Business users validate outcomes. PulseIQ owns the technical work.
Customer teams approve the read-only scope, confirm the priority business outcomes, validate the proposed baseline and representative outputs, and retain final go-live authority.
PulseIQ handles
discover the approved operational objects and fields behind the revenue chain
map source order and customer identifiers across systems
apply revenue-risk, commitment-risk and recovery-priority logic
propose the baseline and reconcile representative outputs with the customer
surface cause, recovery window, owner and decision context
measure later outcomes against the validated baseline without treating modeled value as verified value
Explore related operational intelligence problems
Start with one measurable outcome